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or chirally structured samples • You carry out the measurements of Raman Optical Activity and optical spectroscopies • You process the data, write the reports, and disseminate the results • You are evolving
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community. EDUCATION/TRAINING: PhD in electrical engineering, physics, quantum theory/science, expertise in detection and estimation theory. PREFERRED: Statistical signal processing with knowledge of quantum
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competitive salary, benefits, and research allowance (salary level E13 TV-L). Required Education: Candidates should have a Ph.D. in theoretical physics by fall 2026. Application Procedure: Cover Letter
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Max Planck Institute for Biological Intelligence (Martinsried site), Martinsried | Germany | 3 days ago
organisms adapt to constantly changing environments and achieve complex goals, abilities we call "biological intelligence". Postdoctoral Researcher (f/m/d) in Small-Animal MRI and Cross‑Species Neuroimaging
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Valorization, Sustainable Materials for Non-Pneumatic Tires, Sustainable Materials for Next Generation of Pneumatic Tires, Structure-Process-Properties Relationships. Do you want to know more about LIST? Check
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Materials for Next Generation of Pneumatic Tires, Structure-Process-Properties Relationships. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? LIST is
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at global scale. SUNRISE will challenge the state of the art by (i) producing new comprehensive data collections that can serve as references for future studies, (ii) enhancing the understanding of physical
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the potential of biological control in IPM. They should also be adaptable and able to work with a range of people in a multicultural environment. Excellent knowledge of English and experience in writing
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the context of the catheterized urinary tract. Current funded research is focused on identifying genomic adaptations that occur within bacteria during prolonged colonization of a urinary catheter and examining
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of thousands of transports requests every day, ensuring timely and reliable delivery of wafers to the correct tools. Our research seeks to develop efficient and adaptive scheduling algorithms for AMHS systems